Singular Value Decomposition for Genome-Wide Expression Data Processing and Modeling

We describe the use of singular value decomposition in transforming genome-wide expression data from genes × arrays space to reduced diagonalized "eigengenes" × "eigenarrays" space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or array...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2000-08, Vol.97 (18), p.10101-10106
Main Authors: Alter, Orly, Brown, Patrick O., Botstein, David
Format: Article
Language:English
Subjects:
Biological Sciences
Cell Cycle
Correlations
Cosine function
Data processing
Datasets
Decomposition
Elution
Genes
Genetics
Genome
Genome, Fungal
Mathematical expressions
Mathematics
Matrices
Models, Biological
Models, Genetic
Models, Statistical
Oligonucleotide Array Sequence Analysis
Open Reading Frames
Oscillation
Saccharomyces cerevisiae - cytology
Saccharomyces cerevisiae - genetics
Sine function
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